{
 "cells": [
  {
   "cell_type": "code",
   "metadata": {
    "scrolled": true,
    "ExecuteTime": {
     "end_time": "2024-12-25T06:43:32.571618Z",
     "start_time": "2024-12-25T06:43:30.907276Z"
    }
   },
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.linear_model import RidgeClassifier, LogisticRegression\n",
    "from lightgbm import LGBMClassifier\n",
    "import pandas as pd\n",
    "\n",
    "train_df = pd.read_csv('../input/train_set.csv', sep='\\t', nrows=1000)\n",
    "test_df = pd.read_csv('../input/test_a.csv', sep='\\t', nrows=None)"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n",
    "\n",
    "scikit-learning是Python最通用的机器学习库：\n",
    "\n",
    "- 官网：https://scikit-learn.org/stable/index.html\n",
    "- 十分钟入门：https://scikit-learn.org/stable/getting_started.html\n",
    "- 入门教程：https://scikit-learn.org/stable/tutorial/index.html\n",
    "- 用户指南：https://scikit-learn.org/stable/user_guide.html#\n",
    "- 专业术语表：https://scikit-learn.org/stable/glossary.html\n",
    "- API文档：https://scikit-learn.org/stable/modules/classes.html\n",
    "\n",
    "LightGBM：https://lightgbm.readthedocs.io/en/latest/Python-API.html"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "scrolled": true,
    "ExecuteTime": {
     "end_time": "2024-12-25T06:44:21.965175Z",
     "start_time": "2024-12-25T06:43:35.436753Z"
    }
   },
   "source": [
    "tfidf = TfidfVectorizer(ngram_range=(1, 2), max_features=4000).fit(train_df['text'].iloc[:].values)\n",
    "train_tfidf = tfidf.transform(train_df['text'].iloc[:].values)\n",
    "test_tfidf = tfidf.transform(test_df['text'].iloc[:].values)\n",
    "\n",
    "# clf = RidgeClassifier()\n",
    "# clf = LogisticRegression()\n",
    "clf = LGBMClassifier()\n",
    "clf.fit(train_tfidf, train_df['label'].iloc[:].values)\n",
    "\n",
    "df = pd.DataFrame()\n",
    "df['label'] = clf.predict(test_tfidf)\n",
    "df.to_csv('submit.csv', index=None)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.057070 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 147295\n",
      "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 3760\n",
      "[LightGBM] [Info] Start training from score -1.709258\n",
      "[LightGBM] [Info] Start training from score -1.579879\n",
      "[LightGBM] [Info] Start training from score -1.883875\n",
      "[LightGBM] [Info] Start training from score -2.180367\n",
      "[LightGBM] [Info] Start training from score -2.513306\n",
      "[LightGBM] [Info] Start training from score -2.796881\n",
      "[LightGBM] [Info] Start training from score -3.146555\n",
      "[LightGBM] [Info] Start training from score -3.146555\n",
      "[LightGBM] [Info] Start training from score -3.123566\n",
      "[LightGBM] [Info] Start training from score -3.772261\n",
      "[LightGBM] [Info] Start training from score -3.611918\n",
      "[LightGBM] [Info] Start training from score -4.268698\n",
      "[LightGBM] [Info] Start training from score -5.115996\n",
      "[LightGBM] [Info] Start training from score -5.115996\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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     ]
    }
   ],
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-25T06:46:07.569540Z",
     "start_time": "2024-12-25T06:44:33.820926Z"
    }
   },
   "source": [
    "tfidf = TfidfVectorizer(ngram_range=(1, 4), max_features=4000).fit(train_df['text'].iloc[:].values)\n",
    "train_tfidf = tfidf.transform(train_df['text'].iloc[:].values)\n",
    "test_tfidf = tfidf.transform(test_df['text'].iloc[:].values)\n",
    "\n",
    "# clf = RidgeClassifier()\n",
    "# clf = LogisticRegression()\n",
    "clf = LGBMClassifier()\n",
    "clf.fit(train_tfidf, train_df['label'].iloc[:].values)\n",
    "\n",
    "df = pd.DataFrame()\n",
    "df['label'] = clf.predict(test_tfidf)\n",
    "df.to_csv('submit.csv', index=None)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.057873 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 149855\n",
      "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 3703\n",
      "[LightGBM] [Info] Start training from score -1.709258\n",
      "[LightGBM] [Info] Start training from score -1.579879\n",
      "[LightGBM] [Info] Start training from score -1.883875\n",
      "[LightGBM] [Info] Start training from score -2.180367\n",
      "[LightGBM] [Info] Start training from score -2.513306\n",
      "[LightGBM] [Info] Start training from score -2.796881\n",
      "[LightGBM] [Info] Start training from score -3.146555\n",
      "[LightGBM] [Info] Start training from score -3.146555\n",
      "[LightGBM] [Info] Start training from score -3.123566\n",
      "[LightGBM] [Info] Start training from score -3.772261\n",
      "[LightGBM] [Info] Start training from score -3.611918\n",
      "[LightGBM] [Info] Start training from score -4.268698\n",
      "[LightGBM] [Info] Start training from score -5.115996\n",
      "[LightGBM] [Info] Start training from score -5.115996\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n"
     ]
    }
   ],
   "execution_count": 4
  }
 ],
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